Effects of Generator Design. Aiming at verifying whether the aforementioned generator design helps our model understand image compositions and learn relationships between images and layouts, two comparisons are conducted: ContentGAN equipped with DAM and our generator without a multi-scale strategy. The way for ContentGAN to use DAM is similar to handling multi-image inputs in [1]}. As can be seen in Tab. REF , ContentGAN with DAM still performs poorly, which inversely means that the generator design is indispensable to our model to understand images and generate qualified layouts. The multi-scale strategy helps improve composition-relevant metrics, and provides pros and cons for graphic metrics.
